calculate_pk_parameters_statistics function

calculate_pk_parameters_statistics

Calculate statistics for common pharmacokinetic parameters

Calculate the mean (expected value of the distribution), variance (variance of the distribution) and standard error for some individual pre-defined pharmacokinetic parameters.

calculate_pk_parameters_statistics(
  model,
  parameter_estimates,
  covariance_matrix = NULL,
  seed = NULL
)

Arguments

• model: (Model) A previously estimated model
• parameter_estimates: (array) Parameter estimates
• covariance_matrix: (data.frame (optional)) Parameter uncertainty covariance matrix
• seed: (numeric (optional)) Random number generator or seed

Returns

(data.frame) A DataFrame of statistics indexed on parameter and covariate value.

Examples

## Not run:

model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
rng <- create_rng(23)
pe <- results$parameter_estimates
cov <- results$covariance_matrix
calculate_pk_parameters_statistics(model, pe, cov, seed=rng)
## End(Not run)

See Also

calculate_individual_parameter_statistics : Calculation of statistics for arbitrary parameters